Chapter Six – Decision Support Systems to Manage Irrigation in Agriculture *

作者: Michele Rinaldi , Zhenli He

DOI: 10.1016/B978-0-12-420225-2.00006-6

关键词:

摘要: Abstract A decision support system (DSS) is an interactive software-based used to help decision-makers compile useful information from a combination of raw data, documents, and personal knowledge; identify solve problems; make optimized decision. The DSS architecture consists the database (or knowledge base), model (i.e., context user criteria), interface. main advantages using include examination multiple alternatives, better understanding processes, identification unpredicted situations, enhanced communication, cost effectiveness, use data resources. application in agriculture environment has been rapidly increased past decade, which allows rapid assessment agricultural production systems around world decision-making at both farm district levels, though constraints exist for successful adoption this technology agriculture. One important applications water management field levels. Agriculture facing more severe growing competition with other sectors freshwater. resources are becoming increasingly insufficient meet demand developing countries their quality declining due pollution inadequate management. Irrigation effective means enhance crop productions, but needs be supplied accurately, taking into account its availability, requirement land size, irrigation systems, productivity feasibility. This chapter attempts present state-of-art principles, design, agriculture, particularly practices, emerging approaches future direction research field.

参考文章(97)
Ali Saleh, Oscar Gallego, Application of SWAT and APEX Models Using SWAPP (SWAT/APEX Program) for the Upper North Bosque River Watershed in Texas Watershed Management to Meet Water Quality Standards and TMDLS (Total Maximum Daily Load) Proceedings of the 10-14 March 2007, San Antonio, Texas. pp. 458- ,(2007) , 10.13031/2013.22478
L. S. Pereira, P. R. Teodoro, P. N. Rodrigues, J. L. Teixeira, Irrigation Scheduling Simulation: The Model Isareg Water Science and Technology Library. pp. 161- 180 ,(2003) , 10.1007/978-94-010-0129-8_10
Dr Michael Bruen, Introduction to Decision Support Systems Taylor & Francis. pp. 235- 248 ,(2005) , 10.1201/9781439824702.CH13
Elias Fereres, Pasquale Steduto, Dirk Raes, Theodore C. Hsiao, Crop yield response to water Food and Agriculture Organization of the United Nations. ,(2012)
P. S. Carberry, Are science rigour and industry relevance both achievable in participatory action research Science and technology: delivering results for agriculture? Proceedings of the 10th Australian Agronomy Conference, 29 January - 1 February 2001, Hobart, Tasmania, Australia. ,(2001)
M. E. Jensen, Water consumption by agricultural plants Water Deficits and Plant Growth, Academic Press, New York and London.. ,vol. 2, pp. 1- 22 ,(1968)
K.J. Boote, A.J. Gijsman, P.W. Wilkens, J.T. Ritchie, C.H. Porter, G. Hoogenboom, J.W. Jones, L.A. Hunt, W.D. Batchelor, U. Singh, DSSAT cropping system model European Journal of Agronomy. ,(2003)